Low Risk

assess_ai_readiness

Given a website URL, returns a 0-100 AI Agent Readiness score with category breakdowns (structured data, metadata quality, agent discoverability, AI-bot friendliness) and concrete recommendations. Pure deterministic check, fast, no LLM call.

Risk signalsAccepts URL/endpoint input (url)

Part of the Compliance Registry server.

assess_ai_readiness is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call assess_ai_readiness to retrieve information from Compliance Registry without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though assess_ai_readiness only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "assess_ai_readiness": {}
  }
}

See the full Compliance Registry policy for all 10 tools.

Get this rule live on your own Compliance Registry server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access assess_ai_readiness gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so assess_ai_readiness only ever does what you allow.

SECURE COMPLIANCE REGISTRY →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the assess_ai_readiness tool do? +

Given a website URL, returns a 0-100 AI Agent Readiness score with category breakdowns (structured data, metadata quality, agent discoverability, AI-bot friendliness) and concrete recommendations. Pure deterministic check, fast, no LLM call.. It is categorised as a Read tool in the Compliance Registry MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on assess_ai_readiness? +

Register the Compliance Registry MCP server in PolicyLayer and add a rule for assess_ai_readiness: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Compliance Registry. Nothing to install.

What risk level is assess_ai_readiness? +

assess_ai_readiness is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit assess_ai_readiness? +

Yes. Add a rate_limit block to the assess_ai_readiness rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block assess_ai_readiness completely? +

Set action: deny in the PolicyLayer policy for assess_ai_readiness. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides assess_ai_readiness? +

assess_ai_readiness is provided by the Compliance Registry MCP server (globalpart/tessa-aios). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Compliance Registry tool call.

Deterministic rules across all 10 Compliance Registry tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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